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SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 3 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
BMCBI
2010
171views more  BMCBI 2010»
15 years 28 days ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
128
Voted
ICPADS
2010
IEEE
14 years 10 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
109
Voted
TON
2008
102views more  TON 2008»
15 years 21 days ago
Internet traffic behavior profiling for network security monitoring
Abstract--Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can...
Kuai Xu, Zhi-Li Zhang, Supratik Bhattacharyya
88
Voted
KDD
1995
ACM
108views Data Mining» more  KDD 1995»
15 years 4 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon